Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques

Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-based Techniques offers insight and demonstrates how machine learning (ML), artificial intelligence (AI), and (Internet of Things (IoT) can be used to diagnose and fight COVID-19 infection. The book in the molecular basis of pathogenesis, epidemiology, Transmission Mechanism, Diagnostic approaches, Mutational landscape of SARS-CoV-2. It also describes also discusses the challenges that we face in using these technologies. Organized into three parts, Part A covers the pathogenesis, transmission, diagnosis, and treatment strategies for COVID-19. Part B is an introduction to Artificial Intelligence and Machine Learning. This section examines machine Learning and other emerging technologies that can be used to diagnosis and treatment, but it also considers the challenges of using these technologies. Part C delves into Blockchain /IoT Blockchain technology. It examines how AI can be applied as a tool for detection and containment of the spread of COVID-19 and on the socioeconomic and educational post-pandemic impacts of the disease. Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-based Techniques is a multidisciplinary resource for those engaged in researching COVID-19 and in how emerging technologies are being used as tools for detection, transmission, and treatment strategies. Describes the molecular basis of pathogenesis, epidemiology, transmission mechanism, diagnostic approaches, and mutational landscape of SARS-CoV-2 Provides insight into Post COVID-19 symptoms and consequences Demonstrates how machine learning, AI and IoT is used to diagnose and fight COVID-19 infection Examines the use of Blockchain technology/IoT and interpretation and validation of data obtained from artificial intelligence INDICE: Part A: Biology of SARS-CoV-2 1. Understanding the molecular basis of pathogenesis of SARS-CoV-2 2. Epidemiology, evolution, and phylogeny of Coronaviruses 3. Transmission Mechanism and clinical manifestations of SARS-CoV-2 4. Diagnostic approaches in SARS-CoV-2 Infection (COVID-19) 5. Emerging therapeutic strategies for COVID-19 6. Vaccine development strategies and impact 7. Mutational landscape and emerging variants of SARS-CoV-2 8. Clinical management of Post COVID-19 symptoms and consequences Part B: Machine Learning 9. Introduction of Artificial Intelligence (AI) and Machine Learning (ML) 10. Emerging Technologies for Coronaviruses (COVID-19) 11. Diagnosing Coronaviruses (COVID-19) Using Machine Learning 12. Radiology Images in Machine Learning: Diagnosing and Combatting COVID-19 13. Challenges and Constraints of Using Radiology Images to Diagnose COVID-19 Part C: Blockchain / IoT 14. Artificial Intelligence (AI) and Internet of Things (IoT): Application in Detecting and Containing the Spread of Covid-19 15. Checking Covid-19 Transmission Using IoT 16. Interpretation and validation of data obtained from Artificial Intelligence 17. Socioeconomic and Educational Impact of Pandemic and Use of Blockchain to Control It

• ISBN: 978-0-323-95374-0
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 325
• Fecha Publicación: 01/05/2023
• Nº Volúmenes: 1
• Idioma: Inglés